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Usage Information

Reciprocal immune enhancement of dengue and Zika virus infection in human skin
Priscila M. S. Castanha, … , Ernesto T. A. Marques, Simon M. Barratt-Boyes
Priscila M. S. Castanha, … , Ernesto T. A. Marques, Simon M. Barratt-Boyes
Published January 7, 2020
Citation Information: JCI Insight. 2020;5(3):e133653. https://doi.org/10.1172/jci.insight.133653.
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Research Article Immunology Infectious disease

Reciprocal immune enhancement of dengue and Zika virus infection in human skin

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Abstract

Dengue virus (DENV) and Zika virus (ZIKV) are closely related mosquito-borne flaviviruses that co-circulate in tropical regions and constitute major threats to global human health. Whether preexisting immunity to one virus affects disease caused by the other during primary or secondary infections is unknown but is critical in preparing for future outbreaks and predicting vaccine safety. Using a human skin explant model, we show that DENV-3 immune sera increased recruitment and infection of Langerhans cells, macrophages, and dermal dendritic cells following inoculation with DENV-2 or ZIKV. Similarly, ZIKV immune sera enhanced infection with DENV-2. Immune sera increased migration of infected Langerhans cells to the dermis and emigration of infected cells out of skin. Heterotypic immune sera increased viral RNA in the dermis almost 10-fold and reduced the amount of virus required to infect a majority of myeloid cells by 100- to 1000-fold. Enhancement was associated with cross-reactive IgG and induction of IL-10 expression and was mediated by both CD32 and CD64 Fcγ receptors. These findings reveal that preexisting heterotypic immunity greatly enhances DENV and ZIKV infection, replication, and spread in human skin. This relevant tissue model will be valuable in assessing the efficacy and risk of dengue and Zika vaccines in humans.

Authors

Priscila M. S. Castanha, Geza Erdos, Simon C. Watkins, Louis D. Falo Jr., Ernesto T. A. Marques, Simon M. Barratt-Boyes

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Usage data is cumulative from December 2024 through December 2025.

Usage JCI PMC
Text version 780 204
PDF 93 25
Figure 216 10
Table 35 0
Supplemental data 45 0
Citation downloads 87 0
Totals 1,256 239
Total Views 1,495
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Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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